Impact of fuel price on vehicle miles traveled (VMT): do the poor respond in the same way as the rich?
The effects of fuel price on travel demand for different income groups reveal the choices and constraints they are faced with. The first purpose of this study is to understand these underlying choices and constraints by examining the variation of fuel price elasticity of vehicle miles travelled (VMT) across income groups. On the other hand, the rebound effect—increase in VMT as a result of improvement in fuel efficiency may offset the negative effect of fuel price on VMT. The second purpose of this study is to compare the relative magnitudes of the fuel price elasticity of VMT and the rebound effect. A system of structural equations with VMT and fuel efficiency (MPG, miles per gallon) as endogenous variables is estimated for households at different income levels from 2009 National Household Travel Survey. Higher income households show greater fuel price elasticity than lower income households. Fuel price elasticities are found to be −0.41 and −0.35 for the two highest income groups, while an elasticity of −0.24 for the lowest income group is identified. The rebound effect is found to be only significant for the lowest income households as 0.7. These findings suggest the potential ability of using fuel price as a tool to affect VMT. The study results also suggest possible negative consequences faced by lower income households given an increase in fuel price and call for more studies in this area. Copyright Springer Science+Business Media New York 2014
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- Espey, Molly, 1998. "Gasoline demand revisited: an international meta-analysis of elasticities," Energy Economics, Elsevier, vol. 20(3), pages 273-295, June.
- Goldberg, Pinelopi Koujianou, 1998. "The Effects of the Corporate Average Fuel Efficiency Standards in the US," Journal of Industrial Economics, Wiley Blackwell, vol. 46(1), pages 1-33, March.
- Berkhout, Peter H. G. & Muskens, Jos C. & W. Velthuijsen, Jan, 2000. "Defining the rebound effect," Energy Policy, Elsevier, vol. 28(6-7), pages 425-432, June.
- David L. Greene, 1992. "Vehicle Use and Fuel Economy: How Big is the "Rebound" Effect?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 117-144.
- David L. Greene & James R. Kahn & Robert C. Gibson, 1999. "Fuel Economy Rebound Effect for U.S. Household Vehicles," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-31.
- Clifton T Jones, 1993. "Another Look at U.S. Passenger Vehicle Use and the 'Rebound' Effect from Improved Fuel Efficiency," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 99-110.
- Bhat, Chandra R. & Sen, Sudeshna & Eluru, Naveen, 2009. "The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 1-18, January.
- Dahl, Carol & Sterner, Thomas, 1991. "Analysing gasoline demand elasticities: a survey," Energy Economics, Elsevier, vol. 13(3), pages 203-210, July.
- Feinberg, Richard A, 1986. " Credit Cards as Spending Facilitating Stimuli: A Conditioning Interpretation," Journal of Consumer Research, University of Chicago Press, vol. 13(3), pages 348-56, December.
- West, Sarah E., 2004. "Distributional effects of alternative vehicle pollution control policies," Journal of Public Economics, Elsevier, vol. 88(3-4), pages 735-757, March.
- Hirschman, Elizabeth C, 1979. " Differences in Consumer Purchase Behavior by Credit Card Payment System," Journal of Consumer Research, University of Chicago Press, vol. 6(1), pages 58-66, June.
- Sorrell, Steve & Dimitropoulos, John & Sommerville, Matt, 2009. "Empirical estimates of the direct rebound effect: A review," Energy Policy, Elsevier, vol. 37(4), pages 1356-1371, April.
- repec:rwi:repape:0032 is not listed on IDEAS
- Manuel Frondel & Jorg Peters & Colin Vance, 2008. "Identifying the Rebound: Evidence from a German Household Panel," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 145-164.
- Puller, Steven L. & Greening, Lorna A., 1999. "Household adjustment to gasoline price change: an analysis using 9 years of US survey data," Energy Economics, Elsevier, vol. 21(1), pages 37-52, February.
- Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
- Kitamura, Ryuichi, 1990. "Panel Analysis in Transportation Planning: An Overview," University of California Transportation Center, Working Papers qt86v0f7zh, University of California Transportation Center.
- William C. Wheaton, 1982. "The Long-Run Structure of Transportation and Gasoline Demand," Bell Journal of Economics, The RAND Corporation, vol. 13(2), pages 439-454, Autumn.
- Binswanger, Mathias, 2001. "Technological progress and sustainable development: what about the rebound effect?," Ecological Economics, Elsevier, vol. 36(1), pages 119-132, January.
- A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
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